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Hans Martin Kjer

2 accepted papers

2026

VoDaSuRe: A Large-Scale Dataset Revealing Domain Shift in Volumetric Super-Resolution

CVPR 2026

Recent advances in volumetric super-resolution (SR) have demonstrated strong performance in medical and scientific imaging, with transformer- and CNN-based approaches achieving impressive results even at extreme scaling factors. In this work, we show that much of this performance stems from training

Cited by 0SourcecodeScholar
2024

BugNIST - a Large Volumetric Dataset for Detection under Domain Shift

ECCV 2024poster

"Domain shift significantly influences the performance of deep learning algorithms, particularly for object detection within volumetric 3D images. Annotated training data is essential for deep learning-based object detection. However, annotating densely packed objects is time-consuming and costly. I…

Cited by 1SourcePDFScholar